Image Audio Association via Semantic Classification
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Solution Overview
Problem
Current devices capable of recording images and audio lack the ability to effectively associate and synchronize images and audio based on their meanings, leading to incomplete or mismatched recordings, especially in environments like underwater where sound acquisition is limited.
Innovation Solution
An information processing device with image and audio meaning judgment sections that classify inputted images and audio using databases, allowing for the association and output of synchronized images and audio based on their judged meanings, even when recorded at different times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If images and audio are recorded separately at different timings, then recording flexibility and device simplicity are improved, but synchronization accuracy and association reliability deteriorate
Solution Approach 1:
The system performs preliminary classification of images and audio into meaning groups before final association. By pre-organizing content according to semantic categories (e.g., nature scenes, urban environments, activities) and storing metadata about these classifications, the system enables reliable matching of separately recorded images and audio without requiring simultaneous capture, thus resolving the contradiction between recording flexibility and synchronization accuracy
Solution Approach 2:
The patent introduces meaning classification categories and metadata as an intermediary layer between raw images/audio and their association. This intermediary structure contains semantic information that bridges the temporal gap between separately recorded media, allowing the system to reliably associate images and audio based on their semantic meaning rather than strict temporal synchronization
2Measurement precision
If meaning classification and database reference are implemented, then association accuracy is improved, but device complexity and processing time increase
Solution Approach 1:
The system segments the complex task of image-audio association into distinct modules: image classification unit, audio classification unit, meaning group determination unit, and association unit. Each module handles a specific aspect of the process independently, which reduces overall system complexity while maintaining high association accuracy through specialized processing at each stage
Solution Approach 2:
The system performs preliminary classification of images and audio into meaning groups before the actual association process. By pre-organizing content according to semantic categories and storing this classification information as metadata, the system reduces the complexity of the final association step, as matching becomes a simpler process of finding corresponding meaning groups rather than analyzing raw media data from scratch
Data Source
AI summary
An information processing device is provided with: an image meaning judgment section classifying and judging an inputted image as having a particular meaning by classifying characteristics of the image itself and referring to a database; an audio meaning judgment section classifying and judging an inputted audio as having a particular meaning by classifying characteristics of the audio itself and referring to a database; and an association control section outputting the inputted image and the inputted audio acquired at different timings mutually in association with each other on the basis of each of judgment results of the image meaning judgment section and the audio meaning judgment section; and the information processing device is capable of, even if an image without a corresponding audio or an audio without a corresponding image is inputted, outputting the image and the audio in association with each other.